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. The project employs machine-learning techniques to build a novel global dataset of georeferenced environmental protest events for the period 1990-2025. Together with global datasets on climate change and
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, and dynamics of these fascinating proteins, by combining methodology from computational, biochemical, biophysical, machine learning, and structural techniques. The PhD candidate will work closely with
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of these fascinating proteins, by combining methodology from computational, biochemical, biophysical, machine learning, and structural techniques. The PhD candidate will work closely with other PhD students, postdocs
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microscopy polyclonal epitope mapping applied to infectious and auto-immune diseases”. The Department of Biochemistry and Biophysics offers a 4-years PhD position to study “Cryo electron microscopy polyclonal